D3.js Line Charts: Visualizing Time-Series Data with SVG — PickAClass
⏱ 3h 📚 30 lessons 🎧 Audio version

D3.js Line Charts: Visualizing Time-Series Data with SVG

Master time-series data visualization by learning to build responsive SVG line charts with D3.js using time scales, custom axes, and precise path generators.

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About this course

Visualizing temporal data is a core skill for any developer or data professional, but mapping dates to pixels can be challenging. This text-based course guides you step-by-step through the process of rendering clean, accurate line charts using D3.js.\n\nYou will transition from understanding raw temporal datasets to rendering fully responsive SVG line charts. By learning how D3.js processes time scales and generates paths, you will gain the confidence to build custom data visualizations from scratch.\n\nWhat you'll learn:\n- Understand the core concepts of SVG containers, coordinate systems, and D3 selections\n- Configure D3 time scales to map calendar dates to screen coordinates accurately\n- Generate custom SVG paths using D3 line generators to connect your data points\n- Design clear, accessible axes with custom tick formatting for temporal data\n- Apply modern JavaScript and D3 data binding patterns to keep your code clean\n- Practice building responsive chart layouts that adapt to different screen dimensions\n\nThe course begins with foundational concepts of SVG rendering and D3 selections before moving into date parsing and scale configuration. You will then progress through step-by-step written tutorials to construct, style, and optimize a complete time-series line chart.\n\nThis course is designed for frontend developers, data analysts, and beginners who have a basic understanding of HTML, CSS, and JavaScript. No prior experience with D3.js is required.\n\nStart reading today to unlock the power of time-series data visualization with D3.js.

Course contents

What you'll get

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  • ⚡ Short & focused
    3h of practical content

Certificate of completion

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D3.js Line Charts: Visualizing Time-Series Data with SVG
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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Yes — full refund within 14 days, no questions asked.

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